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Xu et al find lower cognition at midlife for adults born during China's 1959-61 famine

UM's Wolfers on separating deep expertise from partisanship in analyses of economic condtions

Findings by Burgard, Kalousova, and Seefeldt on the mental health impact of job insecurity

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Highlights

Apply by Jan 8 for NIA-supported PSC post-doc fellowship, to begin Sept 1, 2018

On Giving Blue Day, help support the next generation through the PSC Alumni Grad Student Support Fund or ISR's Next Gen Fund

Bailey et al. find higher income among children whose parents had access to federal family planning programs in the 1960s and 70s

U-M's campus climate survey results discussed in CHE story

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Next Brown Bag

Mon, Jan 22, 2018, noon: Narayan Sastry

Data Science with Social Science data: Building predictive models using Python's Scikit-learn

a Workshop

Friday, 10/27/2017, 2:00 pm to 4:00 pm.   ARCHIVED EVENT

Location: Modern Language Bldg, Room 2001A

This CSCAR workshop covers the essential steps to building a predictive model in Python. We will start with an introductory explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). We will proceed with topics including: creation and manipulation of Pandas DataFrames and Matplotlib objects and; creation and interpretation of predictive models using Python’s Scikit-learn. Although not required, we recommend that participants have a basic knowledge of Python and Pandas DataFrames.

Instructor: Márcio Mourão

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